IMPACT OF AI ROBOT IMAGE RECOGNITION TECHNOLOGY ON IMPROVING STUDENTS’ CONCEPTUAL UNDERSTANDING OF CELL DIVISION AND SCIENCE LEARNING MOTIVATION

This quasi-experimental study evaluates an AI robot image recognition system where seventh-grade students teach the AI to recognize cell division images (a 'Learning by Teaching' approach), comparing learning outcomes and motivation against traditional textbook instruction across 81 students in a rural lower-secondary school.

This study explored the integration of neural networks and artificial intelligence in image recognition for object identification. The aim was to enhance students’ learning experiences through a "Learning by Teaching" approach, in which students act as instructors to train AI robots in recognizing objects. This research specifically focused on the cell division unit in the first grade of lower-secondary school. This study employed a quasi-experimental research design involving four seventh-grade

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